Also, you have to choose the right data types. The type of analysis that you plan to performĮach system has specific limitations on the data types and data structures that it supports.The limitations of the database that the data will be loaded onto.Transform and prepare your PostgreSQL dataĪfter you have accessed your data on PostgreSQL, you will have to transform it based on two main factors, Moreover, pagination of data importing can be simulated by querying tables in batching mode. By appropriately configuring the JDBC importer you can control each table’s behavior during import and altering its schema as well if desired. In this case, any input configuration will contain all the appropriate values for the database authentication and connection. When pulling data from a database you also need to be able to filter tables, columns, find a way to identify updates, and replicate the appropriate database schema considering also that it will end up in a columnar database for analytics.Īnother way is by using a JDBC importer. In this case, you need to listen to the log for changes on the database and you reflect them on the target system. There are many ways of doing this like, for example, a logical replication log as previously mentioned. The first step in migrating your PostgreSQL data to any kind of data warehouse solution is to access your data and start extracting it. In addition, depending on the selected destination the data loading process can be significantly different.Īlternatively, you can simplify the process of syncing data from PostgreSQL to MS SQL Server by using RudderStack, which does all the heavy lifting in just a few clicks so that you can focus on what matters, the exploration and the analysis of your company’s data. However, especially in cases where latency is an important factor, this process can be extremely slow. You also need to take care of the loading of new or updated data using a cron job that will constantly trigger the execution of a script that will check for new updates in your tables. Exporting a PostgreSQL database into CSV files using the pg_dump command and loading them into any other system is not enough. Generally speaking, replicating a PostgreSQL to any other database system is not a trivial task. By doing this you will be able to perform advanced analysis on a system that is dedicated to analytics and is suitable for this kind of data payloads, like MS SQL Server, without worrying about interfering with the production setup. This post will help you to load your data stored in PostgreSQL to MS SQL Server.
0 kommentar(er)
